Documents

2021

  • S. Katyara, F. Ficuciello, D. G. Caldwell, B. Siciliano and F. Chen. "Leveraging kernelized synergies on shared subspace for precision grasp and dexterous manipulation," IEEE Transactions on Cognitive and Development Systems, 2021.
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  • S. Katyara, F. Ficuciello, F. Chen, B. Siciliano and D. G. Caldwell. "Vision based adaptation to kernelized synergies for human inspired robotic manipulation," IEEE International Conference on Robotics and Automation (ICRA), 2021.
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  • D. E. Canbay, P. Ferrentino, H. Liu, R. Moccia, S. Pirozzi, B. Siciliano and F. Ficuciello, "Calibration of tactile/force sensors for grasping with the PRISMA Hand II," IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 2021.
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  • M. Selvaggio, M. Cognetti, S. Nikolaidis, S. Ivaldi and B. Siciliano, "Autonomy in physical human-robot interaction," IEEE Robotics and Automation Letters (RA-L), 2021.
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  • E. Triantafyllidis, W. Hu, C. McGreavy and Z. Li, "Metrics for 3D object pointing and manipulation in virtual reality," IEEE Robotics & Automation Magazine (RAM), 2021.
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  • T. Zhang, H. Zhang, X. Li, J. Chen, T. L. Lam and S. Vijayakumar, "AcousticFusion: Fusing sound source localization to visual SLAM in dynamic environments," IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021.
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  • H. Zhang, T. Zhang, T. L. Lam and S. Vijayakumar, "PoseFusion2: Simultaneous background reconstruction and human shape recovery in real-time," IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021.
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  • L. Di Giammarino, I. Aloise, C. Stachniss, and G. Grisetti, "Visual place recognition using LiDAR intensity information," IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021.
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  • P. Rottmann, T. Posewsky, A. Milioto, C. Stachniss, and J. Behley, "Improving monocular depth estimation by semantic pre-training," IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021.
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  • B. Mersch, T. Höllen, K. Zhao, C. Stachniss, and R. Roscher, "Maneuver-based trajectory prediction for self-driving cars using spatio-temporal convolutional networks," IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021.
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  • M. Arora, L. Wiesmann, X. Chen, and C. Stachniss, "Mapping the static parts of dynamic scenes from 3D LiDAR point clouds exploiting ground segmentation," European Conference on Mobile Robots (ECMR), 2021.
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  • X. Chen, S. Li, B. Mersch, L. Wiesmann, J. Gall, J. Behley, and C. Stachniss, "Moving object segmentation in 3D LiDAR data: A learning-based approach exploiting sequential data," IEEE Robotics and Automation Letters (RA-L), 2021.
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  • M. Aygün, A. Ošep, M. Weber, M. Maximov, C. Stachniss, J. Behley, and L. Leal-Taixé, "4D panoptic LiDAR segmentation," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
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  • H. Ferrolho, W. Merkt, C. Tiseo and S. Vijayakumar, "Residual force polytope: Admissible task-space forces of dynamic trajectories", Robotics and Autonomous Systems (RAS), 2021.
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  • M. Selvaggio, J. Cacace, C. Pacchierotti, F. Ruggiero and P. Robuffo Giordano, "A shared-control teleoperation architecture for nonprehensile object transportation", IEEE Transactions on Robotics (T-RO), 2021.
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  • I. Vizzo, X. Chen, N. Chebrolu, J. Behley, and C. Stachniss, "Poisson surface reconstruction for LiDAR odometry and mapping," IEEE International Conference on Robotics and Automation (ICRA), 2021.
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  • A. Reinke, X. Chen, and C. Stachniss, “Simple but effective redundant odometry for autonomous vehicles,” IEEE International Conference on Robotics and Automation (ICRA), 2021.
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  • N. Chebrolu, T. Läbe, O. Vysotska, J. Behley and C. Stachniss, "Adaptive robust kernels for non-linear least squares problems," IEEE Robotics and Automation Letters (RA-L), 2021.
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  • M. Grinvald, F. Tombari, R. Siegwart and J. Nieto, "TSDF++: A multi-object formulation for dynamic object tracking and reconstruction," IEEE International Conference on Robotics and Automation (ICRA), 2021.
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  • L. Schmid, V. Reijgwart, L. Ott, J. Nieto, R. Siegwart and C. Cadena Lerma, "A unified approach for autonomous volumetric exploration of large scale environments under severe odometry drift," IEEE Robotics and Automation Letters (RA-L), 2021.
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  • Z. Chen, J. Alonso-Mora, X. Bai, D. D. Harabor, P. J. Stuckey, "Integrated task assignment and path planning for capacitated multi-agent pickup and delivery," IEEE Robotics and Automation Letters (RA-L), 2021.
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  • B. Brito, M. Everett, J. P. How and J. Alonso-Mora, "Where to go next: Learning a subgoal recommendation policy for navigation in dynamic environments," IEEE Robotics and Automation Letters (RA-L), 2021.
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WP1

  • D1.1 Specification of scenarios requirements
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WP2

  • D2.1 Formal description of system architecture
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WP3

WP9

  • D9.1 Project website
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  • D9.2 Initial communication and dissemination plan
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WP10

2021

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